Postgres CDC
Postgres Change Data Capture (CDC) provides real-time views of data changes without impacting the database's performance. It is used to synchronize data across distributed systems efficiently.
Quix enables you to sync from Apache Kafka to Postgres CDC, in seconds.
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Real-time data
Now that data volumes are increasing exponentially, the ability to process data in real-time is crucial for industries such as finance, healthcare, and e-commerce, where timely information can significantly impact outcomes. By utilizing advanced stream processing frameworks and in-memory computing solutions, organizations can achieve seamless data integration and analysis, enhancing their operational efficiency and customer satisfaction.
What is Postgres CDC?
Postgres CDC is a technique used to track and capture changes in a PostgreSQL database and propagate these changes to different destinations. This approach enables efficient data replication and real-time data integration to other systems.
What data is Postgres CDC good for?
Postgres CDC is excellent for environments needing real-time replication of changes to distributed systems, supporting continuous data flows in microservices architectures. It is particularly effective for maintaining synchronized states across multiple databases.
What challenges do organizations have with Postgres CDC and real-time data?
Organizations may face challenges with ensuring consistent and low-latency data replication across distributed systems. Managing configurations and dealing with complex schema changes can also complicate real-time data ingestion processes, requiring robust monitoring and troubleshooting.